PrototypeCommon
Raman-Lab-UCLA/Multiclass_Metasurface_InverseDesign
Here, we use a conditional deep convolutional generative adversarial network (cDCGAN) to inverse design across multiple classes of metasurfaces. Reference: https://onlinelibrary.wiley.com/doi/10.1002/adom.202100548
- Owner
- Raman-Lab-UCLA (organization)
- Stars
- Stars: 237
- Forks
- Forks: 39
- Language
- Python
- License
- None
- Created
- 2021
- Topics
- dcgan-pytorchgenerative-adversarial-networknanophotonics
- Tier
- Prototype (100 to 249 ★) What this tier means
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